DeepLearning.AI and OpenAI · on DeepLearning.AI
Isa Fulford (OpenAI) and Andrew Ng teach two core prompting principles plus summarizing, inferring, transforming, and expanding text via the OpenAI API in Jupyter notebooks. The classic starting point for developers who want to prompt LLMs systematically rather than by trial and error.
Anyone using AI tools daily; developers building on model APIs. This is a beginner-level course in Prompt Engineering, running about ~1 hour 40 minutes.
Free · certificate requires PRO membership. Free access noted as 'for a limited time' during platform beta. Seen 2026-11-01.
Dr. Jules White teaches reusable prompt patterns (persona, template, few-shot, chain-of-thought, and more) so anyone can get reliable results from ChatGPT without coding. One of the most popular prompting courses for students, writers, and knowledge workers.
A comprehensive, open-source written course covering prompting basics, research-backed techniques, reliability, image prompting, prompt hacking, and tooling, written for non-technical readers. Use it as a free reference-style curriculum you can dip into as needed.
Three Vanderbilt courses (Prompt Engineering for ChatGPT, ChatGPT Advanced Data Analysis, Trustworthy Generative AI) that take you from prompt patterns to data analysis and reliability. For learners who want a university-branded certificate and a deeper path than a single course.